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- All HBS Web
(2,651)
- Faculty Publications (677)
- December 2020
- Article
The Parable of the Auctioneer: Complexity in Paul R. Milgrom's Discovering Prices
By: Scott Duke Kominers and Alexander Teytelboym
Designing marketplaces in complex settings requires both novel economic theory and real-world engineering, often drawing upon ideas from fields such as computer science and operations research. In Discovering Prices, Milgrom (2017) explains the theory and design... View Details
Kominers, Scott Duke, and Alexander Teytelboym. "The Parable of the Auctioneer: Complexity in Paul R. Milgrom's Discovering Prices." Journal of Economic Literature 58, no. 4 (December 2020): 1180–1196.
- November 2020 (Revised July 2022)
- Case
Dell Technologies: Bringing the Cloud to the Ground
By: Navid Mojir and V. Kasturi Rangan
The case tells the story of Dell Technologies and its efforts to revitalize its value proposition and escape a commodity trap by acquiring EMC for $67 billion—the largest tech acquisition in history. It also shows the deeply intertwined connections between a company’s... View Details
Keywords: Value Proposition; Go-to-market; Strategic Positioning; Mergers and Acquisitions; Business Strategy; Marketing Strategy; Technological Innovation; Business Divisions; Computer Industry; Computer Industry
Mojir, Navid, and V. Kasturi Rangan. "Dell Technologies: Bringing the Cloud to the Ground." Harvard Business School Case 521-036, November 2020. (Revised July 2022.)
- Oct 2020
- Conference Presentation
Optimal, Truthful, and Private Securities Lending
By: Emily Diana, Michael J. Kearns, Seth Neel and Aaron Leon Roth
We consider a fundamental dynamic allocation problem motivated by the problem of securities lending in financial markets, the mechanism underlying the short selling of stocks. A lender would like to distribute a finite number of identical copies of some scarce resource... View Details
Diana, Emily, Michael J. Kearns, Seth Neel, and Aaron Leon Roth. "Optimal, Truthful, and Private Securities Lending." Paper presented at the 1st Association for Computing Machinery (ACM) International Conference on AI in Finance (ICAIF), October 2020.
- September 2020
- Case
True North: Pioneering Analytics, Algorithms and Artificial Intelligence
By: Karim R. Lakhani, Kairavi Dey and Hannah Mayer
True North was a private equity fund that specialized in the growth and buyout of mid-market, India-centric companies. The leadership team initially believed that technology was not core to traditional businesses and steered clear of new age technology-oriented... View Details
Keywords: Artificial Intelligence; Information Technology; Management; Operations; Organizations; Leadership; Innovation and Invention; Business Model; AI and Machine Learning; Computer Industry; Computer Industry
Lakhani, Karim R., Kairavi Dey, and Hannah Mayer. "True North: Pioneering Analytics, Algorithms and Artificial Intelligence." Harvard Business School Case 621-042, September 2020.
- 2022
- Working Paper
Where the Cloud Rests: The Location Strategies of Data Centers
By: Shane Greenstein and Tommy Pan Fang
This study provides an analysis of the entry strategies of third-party data centers in the United States. We examine the market before the pandemic in 2018 and 2019, when supply and demand for data services were geographically stable. We compare with the entry... View Details
Greenstein, Shane, and Tommy Pan Fang. "Where the Cloud Rests: The Location Strategies of Data Centers." Harvard Business School Working Paper, No. 21-042, September 2020. (Revised June 2022.)
- 2020
- Working Paper
(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial
By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker
While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between... View Details
Keywords: Behavioral Economics; Coronavirus; Discrimination; Homophily; Labor Market Mobility; Limited Attention; Resumes; Personal Characteristics; Prejudice and Bias
Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Subhradip Sarker. "(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial." Harvard Business School Working Paper, No. 21-038, September 2020.
- September 2020
- Article
Creativity, Artificial Intelligence, and a World of Surprises
In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation... View Details
Keywords: Artificial Intelligence; AI Creativity; Computer Science; Organizational Behavior; Psychology; Creativity; Technological Innovation; AI and Machine Learning
Amabile, Teresa M. "Creativity, Artificial Intelligence, and a World of Surprises." Academy of Management Discoveries 6, no. 3 (September 2020): 351–354.
- 2020
- Book
Work, Mate, Marry, Love: How Machines Shape Our Human Destiny
By: Debora L. Spar
Covering a time frame that ranges from 8000 BC to the present, and drawing upon both Marxist and feminist theories, the book argues that nearly all the decisions we make in our most intimate lives—whom to marry, how to have children, how to have sex, how to think about... View Details
Keywords: Innovation; Family; Women; Reproduction; Artificial Intelligence; Robots; Gender; Demography; History; Innovation and Invention; Relationships; Society; Information Technology; AI and Machine Learning; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Africa; Asia; Europe; Latin America; North and Central America
Spar, Debora L. Work, Mate, Marry, Love: How Machines Shape Our Human Destiny. New York: Farrar, Straus and Giroux, 2020.
- June 2020
- Case
Extended Reality Extends into Enterprise?
By: David B. Yoffie, Kaushal Jain, Amy Villasenor, Vicky Xu and Annie Yang
While the growth of virtual reality started in gaming, the industry was increasingly focused on enterprise applications in 2020. This note explores the market opportunities and challenges for virtual reality and augmented reality in the enterprise, while diving into a... View Details
Keywords: Virtual Reality; Augmented Reality; Enterprise Computing; Organizations; Information Technology; Markets; Opportunities; Strategy
Yoffie, David B., Kaushal Jain, Amy Villasenor, Vicky Xu, and Annie Yang. "Extended Reality Extends into Enterprise?" Harvard Business School Case 720-472, June 2020.
- May 2020
- Teaching Note
Digitalization at Siemens
By: David J. Collis
Teaching Note for HBS No. 717-428. View Details
- April 2020
- Case
Apple Inc. in 2020
By: David B. Yoffie and Daniel Fisher
After a decade as CEO, Tim Cook is facing one of his biggest strategic transitions of his tenure. While Apple had performed spectacularly well under Cook, Apple's core business was maturing. Sales of iPhones, iPads, and Macs were flat or down. However, Apple's new... View Details
Keywords: Innovation; Market Positioning; Marketing Implementation; Planning; Products; Strategic Positioning; Strategy; Information Technology; Competitive Strategy; Technological Innovation; Competitive Advantage; Product Positioning; Communication; Competition; Leadership; Strategic Planning; Computer Industry; Computer Industry; Computer Industry
Yoffie, David B., and Daniel Fisher. "Apple Inc. in 2020." Harvard Business School Case 720-454, April 2020.
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- May 2020
- Article
Scalable Holistic Linear Regression
By: Dimitris Bertsimas and Michael Lingzhi Li
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details
Bertsimas, Dimitris, and Michael Lingzhi Li. "Scalable Holistic Linear Regression." Operations Research Letters 48, no. 3 (May 2020): 203–208.
- December 2019
- Article
Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility
By: Alfred Galichon, Scott Duke Kominers and Simon Weber
We introduce an empirical framework for models of matching with imperfectly transferable utility and unobserved heterogeneity in tastes. Our framework allows us to characterize matching equilibrium in a flexible way that includes as special cases the classic fully- and... View Details
Keywords: Sorting; Matching; Marriage Market; Intrahousehold Allocation; Imperfectly Transferable Utility; Marketplace Matching; Mathematical Methods
Galichon, Alfred, Scott Duke Kominers, and Simon Weber. "Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility." Journal of Political Economy 127, no. 6 (December 2019): 2875–2925.
- November 2019
- Case
Apple, Einhorn, and iPrefs (Abridged)
By: Carliss Y. Baldwin and W. Carl Kester
In March 2013, Apple Computer has a very large cash balance, and is under pressure to return cash to shareholders. Hedge fund manager David Einhorn thinks Apple can "unlock value" by issuing perpetual preferred stock, dubbed iPrefs. Henry Blodget, CEO of Business... View Details
Baldwin, Carliss Y., and W. Carl Kester. "Apple, Einhorn, and iPrefs (Abridged)." Harvard Business School Case 220-043, November 2019.
- 2019
- Working Paper
From Know-It-Alls to Learn-It-Alls: Executive Development in the Era of Self-Refining Algorithms, Collaborative Filtering and Wearable Computing
By: Mihnea Moldoveanu and Das Narayandas
We examine the future of executive education on a technological and cultural landscape that is imminent but different to the one we are accustomed to. We show how the contextualization, socialization and personalization of learning—avowed but distal goals of current... View Details
Keywords: Executive Education; Leadership Development; Technological Innovation; Customization and Personalization; Management Skills; Knowledge Acquisition; Knowledge Sharing
Moldoveanu, Mihnea, and Das Narayandas. "From Know-It-Alls to Learn-It-Alls: Executive Development in the Era of Self-Refining Algorithms, Collaborative Filtering and Wearable Computing." Harvard Business School Working Paper, No. 20-061, November 2019.
- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 17 The Wintel Standards-based Platform
The purpose of this chapter is to use the theory of bottlenecks laid out in previous chapters to better understand the dynamics of an open standards-based platform. I describe how the Wintel platform evolved from 1990 through 2000 under joint sponsorship of Intel and... View Details
Keywords: Open Platforms; Bottlenecks; Wintel Platform; Disintermediation; Information Infrastructure; Applications and Software; Business History; Digital Platforms; Computer Industry
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 17 The Wintel Standards-based Platform." Harvard Business School Working Paper, No. 20-055, November 2019.
- Article
Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions
By: Andrea Blasco, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian and Karim R. Lakhani
Open data science and algorithm development competitions offer a unique avenue for rapid discovery of better computational strategies. We highlight three examples in computational biology and bioinformatics research where the use of competitions has yielded significant... View Details
Keywords: Computational Biology; Bioinformatics; Innovation Competitions; Research; Collaborative Innovation and Invention
Blasco, Andrea, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian, and Karim R. Lakhani. "Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions." PLoS ONE 14, no. 9 (September 2019).
- August 2019
- Case
Huawei and the U.S.-China Trade War
By: Elie Ofek and John Masko
In 2019, Chinese smartphone maker and telecommunications empire Huawei was preparing to launch its new flagship smartphone series, the Mate 30. After years of explosive growth, the previous 18 months had been a challenge for the company. In early 2018, Huawei’s planned... View Details
Keywords: Trade; Global Strategy; International Relations; National Security; Mobile and Wireless Technology; Information Infrastructure; Volatility; Adaptation; Telecommunications Industry; China; United States; European Union
Ofek, Elie, and John Masko. "Huawei and the U.S.-China Trade War." Harvard Business School Case 520-017, August 2019.
- 2019
- Working Paper
The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work
By: Hila Lifshitz - Assaf and Frank Nagle
Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as... View Details
Keywords: Open Source; Future Of Work; Software Development; Knowledge Work; Online Community; Learning; Knowledge Sharing; Applications and Software; Open Source Distribution; Performance Productivity
Lifshitz - Assaf, Hila, and Frank Nagle. "The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work." Working Paper, April 2019.